Advanced Materials Research Vol. 548

Abstract: Rough set theory has been proposed by Pawlak as a useful tool for dealing with the vagueness and granularity in information systems. Classical rough set theory is based on equivalence relation. The covering rough sets are an improvement of Pawlak rough set to deal with complex practical problems which the latter one can not handle. This paper studies covering-based generalized rough sets. In this setting, we investigate common properties of classical lower and upper approximation operations hold for the covering-based lower and upper approximation operations and relationships among some type of covering rough sets.

Abstract: In this paper, we present a novel hybrid classification model with fuzzy clustering and design a newly combinatorial classifier for error-data in joining processes with diverse-granular computing, which is an ensemble of a naïve Bayes classifier with fuzzy c-means clustering. And we apply it to improve classification performance of traditional hard classifiers in more complex real-world situations. The fuzzy c-means clustering is applied to a fuzzy partition based on a given propositional function to augment the combinatorial classifier. This strategy would work better than a conventional hard classifier without fuzzy clustering. Proper scale granularity of objects contributes to higher classification performance of the combinatorial classifier. Our experimental results show the newly combinatorial classifier has improved the accuracy and stability of classification.

Abstract: This study proposes a multi-response surface optimisation with different priorities (MRSOP) problem for determining the proper choices of a process parameter design (PPD) decision problem in a noisy environment of a ramp process in plastic injection molding. The proposed model attempts to minimise process responses of the flow mark defect and mold deposit. Firstly, Taguchi design and analysis are applied to screen out controllable design parameters significantly affecting the quality performances and the regression is then used to determine the form of the relationship between the response and design parameters. A numerical example demonstrates the feasibility of applying the proposed model to the PPD problem via two iterative methods. Its advantages are also discussed. Numerical results demonstrate that the steepest descent method is superior to the use of the linear constrained response surface optimisation method. In this study, the flow mark defect reduces from 2.63 to 1.45% and mold deposit measured by the mold cleaning frequency decreases from every 2.57 to 1.86 hours on average. All experimental data presented in this research have been normalised to disguise actual performance measures as raw data are considered to be confidential.

Abstract: In the field of metallurgy, surface defects detection for steel plate based on machine vision is a new key technology. In order to improve the accuracy and speed of machine vision in real-time surface defects detection, taking into account the neurons selectivity and sparseness to visual information, we present a flexible data selection mechanism in the layer of photoreceptors and a new sparse coding model for object feature representation and object recognition. Experiments show that the new method is more effective and more effective in the process of training and classification. The key finding of this study is that, the effective sparse coding mechanism not only could have occurred in the data input stage, but also could be in a new way.

Abstract: When clients store large files on a remote network of unreliable distributed servers, they want to verify that their files are properly stored in the servers without any modification. This can be achieved by the techniques of data integrity. In this paper, we consider how to implement data integrity check by a third party auditor (TPA) in a distributed storage network, with the help of BLS signature. We also consider how the distributed storage network restores data when some server fails or some server crushes down. We present a data integrity check and repair (DICR) scheme, which makes use of a random linear code for data restoration and BLS signature to implement data integrity check. Our scheme is robust in the way that the storage network can reconstruct the data when a limited number of servers fail. In the mean time, public auditing on the storage network liberates clients from computational overhead.

Abstract: Build a whole car model with ADAMS/Car, a simulation analysis software of mechanical kinetics to perform simulation experiment of car steering stability. Design and carry out experiment of snaking motion and turning braking. Prove the correctness of simulation model through analysis of the findings of experiment and comparison of them with the findings of real car experiment.

Abstract: These days to gain classification system with high accuracy that can classify complicated pattern is so useful in medicine and industry. In this article a process for getting the best classifier for lasic data is suggested. However at first it's been tried to find the best line and curve by this classifier in order to gain classifier fitting, and in the end by using the Markov method a classifier for topo graphs is gained. What are mentioned in this article are supposed to gain a strong classifier so that under Marko theory can choose eyes appropriate for corneal graft.

Abstract: The objective of this paper is to determine the number and species of trees to be planted in order to maximize a profit through an integer linear programming model. The mathematical model is developed in terms of the profit function. This objective function is therefore, a difference between carbon credit revenue and costs of plantation. The economical plants are only considered in the model. Consequently, fourteen different tree species are to be investigated. The objective function is subjected to several constraints i.e. planting area, carbon sequestration and so on. The planting envelope of each tree is assigned 4 by 4 meters. In this paper, the Eastern part of Thailand is considered the case study. It is found that three kinds of plants, Copper pod, Cananga, and Bullet wood are suitable for planting. A number of trees to be planted in 1600 square meter are twenty, thirty, and fifty plants respectively. The profit earned is of 12,112 $ per year in the next fifth year.

Abstract: This paper analyzes the characteristics of current monitoring wireless sensor networks for coal mine safety and two kinds of typical system network architecture of mining working face in coal mine firstly, and then analyzes the network performance of the two kinds of network system theoretically. In order to compare the performance of WSN adopting linear topology and hybrid topology, we build the simulation model using NS2 to evaluate the performance through three indexes, i.e. total energy consumption, packet loss rate and average transmission latency. The research results show that the network adopting hybrid topology has better energy efficiency, and the network adopting linear topology has better performance in packet loss rate and average transmission latency.

Abstract: The countries all over the world, the development of facilities agriculture that science and technology is to promote the modern facilities of the development of the agriculture basic power, biological technology, information technology, energy technology, the new material technology, high and new technology in agricultural facilities, make the comprehensive application of facilities agriculture become highly intensive industrial technology, to the large-scale, mechanization automation and information way, promoted the sustainable development of modern agriculture[1-2]. As China's economy continues to develop, more and more greenhouses, more and more popular, but the intelligence levels of high and low, in recent years learning to the advanced level , technology continues to develop [3-4]. Control over most of the greenhouse with the IPC, high cost, is not conducive to large scale, then switch to single-chip, but the structure is relatively simple external circuit design complexity, is not conducive to the latter part of the system upgrade, unable to complete the complex control and meets the requirements for low-cost agricultural facilities. Therefore, the study of advanced ARM microprocessor based greenhouse control system meets the requirements for low-cost agricultural facilities, but also well positioned to meet the functional requirements of small and medium sized greenhouse. And has a very good human-computer interaction and communication functions, is of great significance and practical value.